{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 数据准备及探索"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1 数据导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instant</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "instant                                                               \n",
       "1        2011-01-01       1   0     1        0        6           0   \n",
       "2        2011-01-02       1   0     1        0        0           0   \n",
       "3        2011-01-03       1   0     1        0        1           1   \n",
       "4        2011-01-04       1   0     1        0        2           1   \n",
       "5        2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "         weathersit      temp     atemp       hum  windspeed  casual  \\\n",
       "instant                                                                \n",
       "1                 2  0.344167  0.363625  0.805833   0.160446     331   \n",
       "2                 2  0.363478  0.353739  0.696087   0.248539     131   \n",
       "3                 1  0.196364  0.189405  0.437273   0.248309     120   \n",
       "4                 1  0.200000  0.212122  0.590435   0.160296     108   \n",
       "5                 1  0.226957  0.229270  0.436957   0.186900      82   \n",
       "\n",
       "         registered   cnt  \n",
       "instant                    \n",
       "1               654   985  \n",
       "2               670   801  \n",
       "3              1229  1349  \n",
       "4              1454  1562  \n",
       "5              1518  1600  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import r2_score  \n",
    "\n",
    "%matplotlib inline\n",
    "sns.reset_orig() \n",
    "\n",
    "df_day = pd.read_csv('day.csv', header=0, index_col=-0)\n",
    "df_day.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 数据基本信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 731 entries, 1 to 731\n",
      "Data columns (total 15 columns):\n",
      "dteday        731 non-null object\n",
      "season        731 non-null int64\n",
      "yr            731 non-null int64\n",
      "mnth          731 non-null int64\n",
      "holiday       731 non-null int64\n",
      "weekday       731 non-null int64\n",
      "workingday    731 non-null int64\n",
      "weathersit    731 non-null int64\n",
      "temp          731 non-null float64\n",
      "atemp         731 non-null float64\n",
      "hum           731 non-null float64\n",
      "windspeed     731 non-null float64\n",
      "casual        731 non-null int64\n",
      "registered    731 non-null int64\n",
      "cnt           731 non-null int64\n",
      "dtypes: float64(4), int64(10), object(1)\n",
      "memory usage: 91.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df_day.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### 1.3 目标变量分布比较（2011与2012）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Install\\Anaconda3\\lib\\site-packages\\statsmodels\\nonparametric\\kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "image/png": 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XjkuPJy4yjDXFNT45vlKHaa8npbqwoqiatLhI8gZ5rxHbWWiIMDEnMbBKFG3NUFsMLYeg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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbfacc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 训练数据与测试数据划分\n",
    "df_2011 = df_day[df_day['yr']==0]\n",
    "df_2012 = df_day[df_day['yr']==1]\n",
    "\n",
    "# 目标变量（每日共享单车数量）分布\n",
    "fig = plt.figure()\n",
    "sns.distplot(df_2011.cnt.values, bins=30, label='2011', kde=True)\n",
    "sns.distplot(df_2012.cnt.values, bins=30, label='2012', kde=True)\n",
    "plt.xlabel('Daily Count of Total Rental Bikes', fontsize=12)\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Gk3+dfG2dhJRm9AlIKTcJIX4KfAAEgYeklA8JIWZKKTcbp20BZhq/zwGetQyx0TgWNn63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\nkqSL+Rsotn2QPfWHpgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc02be10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 目标变量散点图\n",
    "fig = plt.figure()\n",
    "plt.scatter(range(df_2011.shape[0]), df_2011.cnt.values, s=6, label='2011')\n",
    "plt.scatter(range(df_2011.shape[0],df_day.shape[0]), df_2012.cnt.values, s=6, label='2012')\n",
    "plt.title(\"Distribution of Bike Sharing Count\")\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The difference between the mean of 2012 and of 2011 is:  2194.17278239\n"
     ]
    }
   ],
   "source": [
    "# 2011与2012年目标变量均值差\n",
    "diff = df_day.groupby('yr')['cnt'].mean()[1]-df_day.groupby('yr')['cnt'].mean()[0]\n",
    "print('The difference between the mean of 2012 and of 2011 is: ', diff)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "整体看来，2012年共享单车使用数量相比2011年有较大幅度提升。考虑到用2011年数据训练模型，用于预测2012年数据时，会出现较大误差，故可用两年的均值差进行校正。\n",
    "\n",
    "以下仅对2011年数据（训练集）进行探索性分析。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.4 输入特征分布分析（2011）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3    94\n",
      "2    92\n",
      "1    90\n",
      "4    89\n",
      "Name: season, dtype: int64 \n",
      "\n",
      "0    365\n",
      "Name: yr, dtype: int64 \n",
      "\n",
      "12    31\n",
      "10    31\n",
      "8     31\n",
      "7     31\n",
      "5     31\n",
      "3     31\n",
      "1     31\n",
      "11    30\n",
      "9     30\n",
      "6     30\n",
      "4     30\n",
      "2     28\n",
      "Name: mnth, dtype: int64 \n",
      "\n",
      "6    53\n",
      "5    52\n",
      "4    52\n",
      "3    52\n",
      "2    52\n",
      "1    52\n",
      "0    52\n",
      "Name: weekday, dtype: int64 \n",
      "\n",
      "1    250\n",
      "0    115\n",
      "Name: workingday, dtype: int64 \n",
      "\n",
      "0    355\n",
      "1     10\n",
      "Name: holiday, dtype: int64 \n",
      "\n",
      "1    226\n",
      "2    124\n",
      "3     15\n",
      "Name: weathersit, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 类别型变量分布\n",
    "print(df_2011['season'].value_counts(),'\\n')\n",
    "print(df_2011['yr'].value_counts(),'\\n')\n",
    "print(df_2011['mnth'].value_counts(),'\\n')\n",
    "print(df_2011['weekday'].value_counts(),'\\n')\n",
    "print(df_2011['workingday'].value_counts(),'\\n')\n",
    "print(df_2011['holiday'].value_counts(),'\\n')\n",
    "print(df_2011['weathersit'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Install\\Anaconda3\\lib\\site-packages\\statsmodels\\nonparametric\\kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "image/png": 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2niA1PopFBYEN5FHuVJSdRE1Ll05HEGY0uath2X+imeONHVw0KwOvR0+j8awwM5HICGHN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\nuZAmd6WUciFN7kop5UL/H6ifjJRXZs4PAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbfac4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 温度分布图\n",
    "fig = plt.figure()\n",
    "sns.distplot(df_2011.temp.values, bins=30, kde=True)\n",
    "plt.xlabel('Normalized Temperature in Celsius (2011)', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Install\\Anaconda3\\lib\\site-packages\\statsmodels\\nonparametric\\kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "image/png": 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POx2WUo7raxanq6bm8sq2Cprau7hi8pkX9/nO7qTOpMk9iDq6vDy1roTqxjb+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\nV0opF9LkrpRSLqTJXSmlXOj/AwQe7b4jslMoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc42e828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 体感温度分布\n",
    "fig = plt.figure()\n",
    "sns.distplot(df_2011.atemp.values, bins=30, kde=True)\n",
    "plt.xlabel('Normalized Feeling Temperature in Celsius (2011)', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Install\\Anaconda3\\lib\\site-packages\\statsmodels\\nonparametric\\kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "image/png": 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q8p2lG3l2Yw23LZnKBRNP6TNnTMTMGJ3NwskF/OS5Leyta/E6TlRYcTdRp6o8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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xca00b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 湿度分布\n",
    "fig = plt.figure()\n",
    "sns.distplot(df_2011.hum.values, bins=30, kde=True)\n",
    "plt.xlabel('Normalized Humidity (2011)', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Install\\Anaconda3\\lib\\site-packages\\statsmodels\\nonparametric\\kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "image/png": 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50/aT3PLgW1w5NZeH7r6U1ISBP/LDjWjRCazCi7a4A7y+/zRffGY3V0/P5bO6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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc4bef28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 风速分布\n",
    "fig = plt.figure()\n",
    "sns.distplot(df_2011.windspeed.values, bins=30, kde=True)\n",
    "plt.xlabel('Normalized Wind Speed (2011)', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.5 特征间相关性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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j/T2w/3UoXQrJGfZkwcYarF0b0PU/BxT2bsTy+HAtWjm8Y88Yb9JOinZmlZ4v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\ncv78krOW43wzqcpDRIqAO4C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Y9m5g95h7GN4SliouSYw3jomyo6aGn/xxI6rKOy69hNuX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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc9d26d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 季节对目标变量影响\n",
    "fig = plt.figure()\n",
    "sns.stripplot(df_2011['season'], df_2011['cnt'], jitter=True, size=4, palette='Set2')\n",
    "plt.plot(range(0,4), df_2011.groupby('season')['cnt'].median(), lw=2, color='cadetblue')\n",
    "plt.title(\"Count of Rental Bikes vs. Season (2011)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HPdY+cHrC66OGwWunK3ji8BGaus31G5mJidy28gq2LV6Eb7ycFrl/D/V/Y+0o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\n2qjp5KFpmqaNmk4emqZp2qj9f9vQWHVvX4SwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc3656d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 月份对目标变量影响\n",
    "fig = plt.figure()\n",
    "sns.stripplot(df_2011['mnth'], df_2011['cnt'], jitter=True, size=4, palette='Set2')\n",
    "plt.plot(range(0,12), df_2011.groupby('mnth')['cnt'].median(),lw=2, color='cadetblue')\n",
    "plt.title(\"Count of Rental Bikes vs. Month (2011)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从单车租赁数量的季节/月份分布中可以发现一些显著的离群点，可考虑删除。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 删除显著离群点\n",
    "index_del = df_2011[(df_2011['mnth']>=3) & (df_2011['mnth']<=10) & (df_2011['cnt']<1200)].index\n",
    "df_2011 = df_2011.drop(index_del)\n",
    "#df_2011.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6ohfN5UNMq0Yq1kX77odB6QO5zINZWPdhjzwm4MmmPfSZKWe3dTRRH24fOFYd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\n2v4/HWriSBlxICYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc365390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 星期对目标变量影响\n",
    "fig = plt.figure()\n",
    "sns.stripplot(df_2011['weekday'], df_2011['cnt'], jitter=True, size=4, palette='Set2')\n",
    "plt.plot(range(0,7), df_2011.groupby('weekday')['cnt'].median(),lw=2, color='cadetblue')\n",
    "plt.title(\"Count of Rental Bikes vs. Weekday (2011)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xobDcm8O10xZQ6PaRZnMgwNKcUqp7WkcVGXAgGqEt2M+rTQdpSdpXotFozn30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\npZTf/h8gTRSFi2erqwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcab31d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 是否为节假日对目标变量影响\n",
    "fig = plt.figure()\n",
    "sns.stripplot(df_2011['holiday'], df_2011['cnt'], jitter=True, size=3.5, palette='Set2')\n",
    "plt.plot(range(0,2), df_2011.groupby('holiday')['cnt'].median(),'--',lw=2, color='cadetblue')\n",
    "plt.title(\"Count of Rental Bikes vs. Holiday (2011)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pi82O9GDhEWc8ITlzL8aftx2OtO4cELuZtddYx4iDkHOGTcBpY3rrojS7He8e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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc3dc518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 是否为工作日对目标变量影响\n",
    "fig = plt.figure()\n",
    "sns.stripplot(df_2011['workingday'], df_2011['cnt'], jitter=True, size=4, palette='Set2')\n",
    "plt.plot(range(0,2), df_2011.groupby('workingday')['cnt'].median(),'--', lw=2, color='cadetblue')\n",
    "plt.title(\"Count of Rental Bikes vs. Working Day (2011)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FJvcdNl9Cw3Ff/+Whkthg+MAY5TFCeLrgfdaV2TGoytua+Na8KyloriE3Oolw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\nSg2bJg+llFLD9t+gXqYzZ2VydwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc20f710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 天气状况对目标变量影响\n",
    "fig = plt.figure()\n",
    "sns.stripplot(df_2011['weathersit'], df_2011['cnt'], jitter=True, size=3.5, palette='Set2')\n",
    "plt.plot(range(0,3), df_2011.groupby('weathersit')['cnt'].median(),'--',lw=2, color='cadetblue')\n",
    "plt.title(\"Count of Rental Bikes vs. Wheather (2011)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc366dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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GORx2hq5WF7y+gJ6fLOfyCXF8eekxGI4B4JYfgnK9ERLlSybdYaNtp+aC4ECK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\nuyWnfoNwC3v5u+9gatba9Vx5tIa1dWBkbAZPffQJ2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Gy28+6LnO5H+3tw7sJ1e6yTv78X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E+TLRPzzK5JSXqziVztB34FhW0Q5XDq663ARmU+unbFefwz6EAFdd3s5Vl0vWhK25UUilZzj9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\nfxR1s4UXY3FQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc2499e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数值型变量散点图矩阵\n",
    "fig = plt.figure()\n",
    "sns.pairplot(df_2011[['temp','atemp','windspeed','hum','cnt']], size=2,plot_kws=dict(s=2, edgecolor=\"steelblue\"))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 处理类别型变量\n",
    "df_day = pd.concat([df_2011, df_2012], axis=0)\n",
    "df_class = df_day[['season','mnth','weekday','weathersit']].astype(object)\n",
    "df_dummies = pd.get_dummies(df_class).astype(int)\n",
    "#df_dummies.info()\n",
    "df = pd.concat([df_day, df_dummies], axis=1)\n",
    "\n",
    "# 丢弃重复变量和无关量\n",
    "df = df.drop(['dteday','season','mnth','weekday','weathersit','casual','registered'],1)\n",
    "#df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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p8xZhsZh59umO9LtPm0+ftzCrzT8Y8y6hVasQn2BkzAdTSU5JAeD5ZzrR/UXr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AnogCft8SYBlQJJvZjMpYRUTDkmjm2LIrRuFZuaqk1rcjLyGGmJ5pOCzMsZBdZTtlZF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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd343f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算部分变量的相关系数\n",
    "data_corr = df.ix[df['yr']==0,['temp','atemp','windspeed','hum','season_1','season_2','season_3','season_4',\n",
    "                    'weathersit_1','weathersit_2','weathersit_3','workingday','holiday','cnt']].corr().abs() \n",
    "plt.figure(figsize=(15, 10))\n",
    "sns.heatmap(data_corr,annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "根据探索性分析结果，可以对部分特征进行初步筛选：\n",
    "\n",
    "某些特征之间存在强相关性（如温度与体感温度、晴天与阴天等），可考虑去掉其中一个特征。同时季节和月份间也具有较强的相关性，为减小模型复杂程度，可用季节替代；从单车租赁数量的月份分布中发现，个别月份出现反季节变化（如7、8月），可暂时保留该特征，待进一步筛选。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 2. 数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Install\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:429: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, _DataConversionWarning)\n"
     ]
    }
   ],
   "source": [
    "# 特征选择\n",
    "features = ['atemp','windspeed','hum','weathersit_1','weathersit_3',\n",
    "            'season_1','season_2','season_3','mnth_7','mnth_8',\n",
    "            'holiday','weekday_0','weekday_1']\n",
    "\n",
    "# 划分训练数据集和测试数据集\n",
    "X_train = df.ix[df['yr'] == 0,features].values\n",
    "y_train = df.ix[df['yr'] == 0,['cnt']].values\n",
    "X_test = df.ix[df['yr'] == 1,features].values\n",
    "y_test = df.ix[df['yr'] == 1,['cnt']].values\n",
    "\n",
    "# 数据标准化\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "sc_X = StandardScaler()\n",
    "sc_y = StandardScaler()\n",
    "X_train_std = sc_X.fit_transform(X_train)\n",
    "X_test_std = sc_X.transform(X_test)\n",
    "y_train_std = sc_y.fit_transform(y_train.reshape(-1, 1))\n",
    "y_test_std = sc_y.transform(y_test.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 岭回归"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 模型训练与参数调优"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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shio+n8xl1SLpsmT9CElfSe4z8nNJSyW9Oxn2PuDHNc/xVUnNfd2fQNI2Sf+W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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd51af28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The best alpha of RidgeCV is: 2.68269579528\n",
      "The best cv-mse is: 0.202196510182\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>features</th>\n",
       "      <th>coef_ridge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>atemp</td>\n",
       "      <td>[0.621437232019]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>season_1</td>\n",
       "      <td>[-0.44688480117]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>weathersit_3</td>\n",
       "      <td>[-0.175238968814]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>mnth_7</td>\n",
       "      <td>[-0.161974292631]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>season_2</td>\n",
       "      <td>[-0.125120361415]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.115014725901]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>weathersit_1</td>\n",
       "      <td>[0.1085282268]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.0987256364716]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>mnth_8</td>\n",
       "      <td>[-0.0973352726953]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.0399844103924]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>weekday_0</td>\n",
       "      <td>[-0.0296924002564]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>season_3</td>\n",
       "      <td>[-0.0250344686278]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>weekday_1</td>\n",
       "      <td>[-0.0162958929592]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        features          coef_ridge\n",
       "0          atemp    [0.621437232019]\n",
       "5       season_1    [-0.44688480117]\n",
       "4   weathersit_3   [-0.175238968814]\n",
       "8         mnth_7   [-0.161974292631]\n",
       "6       season_2   [-0.125120361415]\n",
       "2            hum   [-0.115014725901]\n",
       "3   weathersit_1      [0.1085282268]\n",
       "1      windspeed  [-0.0987256364716]\n",
       "9         mnth_8  [-0.0973352726953]\n",
       "10       holiday  [-0.0399844103924]\n",
       "11     weekday_0  [-0.0296924002564]\n",
       "7       season_3  [-0.0250344686278]\n",
       "12     weekday_1  [-0.0162958929592]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 岭回归／L2正则\n",
    "from sklearn.linear_model import RidgeCV\n",
    "\n",
    "alphas = np.logspace(-3,3,15)\n",
    "ridge = RidgeCV(alphas=alphas, store_cv_values=True)  \n",
    "ridge.fit(X_train_std, y_train_std)    \n",
    "y_test_pred_ridge = ridge.predict(X_test_std)\n",
    "y_train_pred_ridge = ridge.predict(X_train_std)\n",
    "\n",
    "# 可视化正则参数与均方误差的关系\n",
    "mse_mean = np.mean(ridge.cv_values_, axis = 0)\n",
    "\n",
    "plt.plot(np.log10(alphas), mse_mean.reshape(len(alphas),1)) \n",
    "plt.axvline(np.log10(ridge.alpha_), ymin=0.05, ymax=0.95, color='orange')\n",
    "plt.xlabel('log(alpha)')\n",
    "plt.ylabel('cv-mse')\n",
    "plt.show()\n",
    "\n",
    "print('The best alpha of RidgeCV is:', ridge.alpha_)\n",
    "print('The best cv-mse is:', mse_mean.min())\n",
    "\n",
    "# 查看各特征的权重系数\n",
    "fs = pd.DataFrame({\"features\":features, \"coef_ridge\":list((ridge.coef_.T)), \"coef_ridge_abs\":list(np.abs(ridge.coef_.T))})\n",
    "fs.sort_values(by=['coef_ridge_abs'],ascending=False)[['features','coef_ridge']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 模型评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ancHRnyB+lozKOZYszURWs3ztLETdnajCKu37oV0xBd/NrCmvMHnTSa6YoXvo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\nKIqiKAD8P48C+zntFnv/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xca6d7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制预测值与真值的散点图\n",
    "fig = plt.figure()\n",
    "plt.plot(y_train_std, y_train_pred_ridge,'.',lw=1, label='train')\n",
    "plt.plot(y_test_std, y_test_pred_ridge, 'x',lw=1, label='test')     \n",
    "plt.plot([-3, 3], [-3, 3], 'k')  \n",
    "plt.plot([-3, 3], [-3-y_test_std.mean(), 3-y_test_std.mean()], '--k')   # 偏移参考线\n",
    "plt.xlabel('True count')\n",
    "plt.ylabel('Predicted count')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看到，回归模型可以较好地拟合训练数据集，但在测试数据集上存在整体偏差，并且在真值更大的部分误差更明显。\n",
    "\n",
    "原因正如之前的探索性分析所示，测试数据较训练数据取值范围增大（高值更高）、均值更大、并存在明显右偏。\n",
    "\n",
    "通过均值差校正后的预测值可以相对准确地反映训练数据的整体趋势，但在真值小的部分预测误差较大。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The r2 score of RidgeCV on test is 0.683330179583\n",
      "The r2 score of RidgeCV on train is 0.816888598701\n"
     ]
    }
   ],
   "source": [
    "# 评估(r2_score)\n",
    "print('The r2 score of RidgeCV on test is', r2_score(y_test, sc_y.inverse_transform(y_test_pred_ridge + y_test_std.mean())))\n",
    "print('The r2 score of RidgeCV on train is', r2_score(y_train, sc_y.inverse_transform(y_train_pred_ridge)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Lasso"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 模型训练与参数调优"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Install\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\coordinate_descent.py:1082: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
     "data": {
      "image/png": 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eCLxtZpcN92dL9lEpSNaxqNVmtt3MtpnZx2KP55jZQ7H7ITxjZk+Z2U2xl90G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\nhKK3oc6nmQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xca5aba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The best alpha of LassoCV is: 1e-05\n",
      "The best cv-mse is: 0.360217463051\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>features</th>\n",
       "      <th>coef_lasso</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>atemp</td>\n",
       "      <td>0.636039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>season_1</td>\n",
       "      <td>-0.449053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>weathersit_3</td>\n",
       "      <td>-0.176061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>mnth_7</td>\n",
       "      <td>-0.168207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>season_2</td>\n",
       "      <td>-0.133316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>hum</td>\n",
       "      <td>-0.120457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>weathersit_1</td>\n",
       "      <td>0.106226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>mnth_8</td>\n",
       "      <td>-0.101584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>-0.099075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>holiday</td>\n",
       "      <td>-0.040508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>season_3</td>\n",
       "      <td>-0.032685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>weekday_0</td>\n",
       "      <td>-0.029758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>weekday_1</td>\n",
       "      <td>-0.016454</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        features  coef_lasso\n",
       "0          atemp    0.636039\n",
       "5       season_1   -0.449053\n",
       "4   weathersit_3   -0.176061\n",
       "8         mnth_7   -0.168207\n",
       "6       season_2   -0.133316\n",
       "2            hum   -0.120457\n",
       "3   weathersit_1    0.106226\n",
       "9         mnth_8   -0.101584\n",
       "1      windspeed   -0.099075\n",
       "10       holiday   -0.040508\n",
       "7       season_3   -0.032685\n",
       "11     weekday_0   -0.029758\n",
       "12     weekday_1   -0.016454"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lasso／L1正则\n",
    "from sklearn.linear_model import LassoCV\n",
    " \n",
    "alphas = np.logspace(-5,1,15)\n",
    "lasso = LassoCV(alphas=alphas)  \n",
    "lasso.fit(X_train_std, y_train_std)  \n",
    "y_test_pred_lasso = lasso.predict(X_test_std)\n",
    "y_train_pred_lasso = lasso.predict(X_train_std)\n",
    "\n",
    "\n",
    "# 可视化正则参数与均方误差的关系\n",
    "mses = np.mean(lasso.mse_path_, axis = 1)\n",
    "\n",
    "plt.plot(np.log10(lasso.alphas_), mses) \n",
    "plt.axvline(np.log10(lasso.alpha_), ymin=0.05, ymax=0.95, color='orange')\n",
    "plt.xlabel('log(alpha)')\n",
    "plt.ylabel('cv-mse')\n",
    "plt.show()    \n",
    "            \n",
    "print('The best alpha of LassoCV is:', lasso.alpha_)\n",
    "print('The best cv-mse is:', mses.min())\n",
    "\n",
    "\n",
    "# 查看各特征的权重系数\n",
    "fs = pd.DataFrame({\"features\":features, \"coef_lasso\":list((lasso.coef_.T)), \"coef_lasso_abs\":list(np.abs(lasso.coef_.T))})\n",
    "fs.sort_values(by=['coef_lasso_abs'],ascending=False)[['features','coef_lasso']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 模型评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8PuCYuTojejxEzKlsevfuzQu9G5f6NhyaQtC4b3EXrhk3slk8KiKn8CuCa0cnp+fres6K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\nSrqJrGYpFJ1jCs7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++wzZpE1tH31sk7xG86GOhnHqzrn9mJyzAIDtpwT6U4l0qC34V7eK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\nHgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc5b3d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制预测值与真值的散点图\n",
    "fig = plt.figure()\n",
    "plt.plot(y_train_std, y_train_pred_lasso,'.',lw=1, label='train')\n",
    "plt.plot(y_test_std, y_test_pred_lasso, 'x',lw=1, label='test')     \n",
    "plt.plot([-3, 3], [-3, 3], 'k')  \n",
    "plt.plot([-3, 3], [-3-y_test_std.mean(), 3-y_test_std.mean()], '--k')   # 偏移参考线\n",
    "plt.xlabel('True count')\n",
    "plt.ylabel('Predicted count')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出，Lasso拟合的模型效果总体上与岭回归差别不大。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The r2 score of LassoCV on test is 0.68482291302\n",
      "The r2 score of LassoCV on train is 0.816987920873\n"
     ]
    }
   ],
   "source": [
    "# 评估(r2_score)\n",
    "print('The r2 score of LassoCV on test is', r2_score(y_test, sc_y.inverse_transform(y_test_pred_lasso + y_test_std.mean())))\n",
    "print('The r2 score of LassoCV on train is', r2_score(y_train, sc_y.inverse_transform(y_train_pred_lasso)))"
   ]
  }
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